Results 211 to 220 of about 248,320 (248)
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Data preprocessing in predictive data mining

The Knowledge Engineering Review, 2019
Abstract A large variety of issues influence the success of data mining on a given problem. Two primary and important issues are the representation and the quality of the dataset. Specifically, if much redundant and unrelated or noisy and unreliable information is presented, then knowledge discovery becomes a very difficult problem ...
Stamatios-Aggelos N. Alexandropoulos   +2 more
openaire   +1 more source

Data Preprocessing

2023
Bernard J. Jansen   +4 more
  +5 more sources

Data preprocessing

2020
Usman Qamar, Muhammad Summair Raza
  +5 more sources

Robust Techniques for Data Preprocessing

1996
A summary on numerical cartography and digital photogrammetry, taking into account also some aspect of GIS’s and image processing, is presented, in order to list the principal problems of spatially referenced data analysis.
BROVELLI, MARIA ANTONIA   +3 more
openaire   +2 more sources

Data Preprocessing

Kar-Ann Toh   +3 more
  +5 more sources

Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding

ACM Computing Surveys, 2023
Wenqi Wei, Jianxi Fan, Jingya Zhou
exaly  

New data preprocessing trends based on ensemble of multiple preprocessing techniques

TrAC - Trends in Analytical Chemistry, 2020
Douglas Rutledge, Federico Marini
exaly  

Data Preprocessing

2017
David Bermbach, Erik Wittern, Stefan Tai
openaire   +2 more sources

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